Triple
T11669369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thin Man |
E277336
|
entity |
| Predicate | counterStrategy |
P100355
|
FINISHED |
| Object | use of medikits to cure poison |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: use of medikits to cure poison | Statement: [Thin Man, counterStrategy, use of medikits to cure poison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterStrategy Context triple: [Thin Man, counterStrategy, use of medikits to cure poison]
-
A.
counterplay
chosen
Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
-
B.
counterattackBy
Indicates that an entity launches a retaliatory attack in response to an initial attack carried out by another entity.
-
C.
opponentStrategy
Indicates that one entity employs or represents a strategic plan specifically designed to counter or compete against another entity.
-
D.
countermeasureCategory
Indicates the classification type or category to which a given countermeasure belongs.
-
E.
counterSlogan
Indicates that one slogan is created or used specifically to oppose, refute, or undermine another slogan.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.